Dr. Davenport received the B.S.E.E. (2004), M.S. (2007), and Ph.D. (2010) degrees in Electrical and Computer Engineering, all from Rice University. He spent 2010 to 2012 as an NSF Mathematical Sciences Postdoctoral Research Fellow in the Department of Statistics at Stanford University and the summer of 2011 as a visitor at the Laboratoire Jacques-Louis Lions, Université Pierre et Marie Curie.
In 2012, Dr. Davenport joined the faculty in the School of ECE at Georgia Tech. He is a recipient of a Sloan Research Fellowship (2017), the National Science Foundation CAREER Award (2014), and the Air Force Office of Scientific Research Young Investigator Award (2014). He has received numerous teaching awards, and currently serves as an Associate Editor for IEEE Transactions on Signal Processing.
- Ph.D., Electrical and Computer Engineering, Rice University, 2010
- M.S., Electrical and Computer Engineering, Rice University, 2007
- B.S., Electrical and Computer Engineering, Rice University, 2004
Davenport’s research centers on signal processing and statistical learning, with particular emphasis on compressive sensing, high-dimensional inference, and information theory. His work explores fundamental algorithms and theoretical limits related to efficient data acquisition, representation, and recovery. This research aims to advance understanding of how structure and randomness interplay in signal and data analysis, contributing to foundational developments in electrical and computer engineering.
Davenport’s teaching interests encompass undergraduate and graduate courses in electrical and computer engineering, with a focus on signal processing, communications, and information theory. He is committed to providing students with a thorough understanding of theoretical concepts and practical applications in these core areas, fostering analytical and problem-solving skills essential for advanced study and research in engineering fields.
- Sloan Research Fellowship (2017)
- Class of 1940 W. Roane Beard Outstanding Teacher Award (2017)
- IEEE Signal Processing Society Best Paper Award (2015)
- CETL/BP Junior Faculty Teaching Excellence Award (2016)
- Richard M. Bass Outstanding Teacher Award (2015)
- NSF CAREER Award (2014)
- AFOSR Young Investigator Award (2014)
- Ralph Budd Award for Best Thesis in the School of Engineering at Rice University (2011)
- C DeLude, X Mao, S Sharma, WC Wang, S Mukhopadhyay, ..., Broadband Beamforming using Low-Bit Precision Dimensionality Reduction, IEEE Journal of Selected Topics in Signal Processing, 2025
- P Guan, N Iqbal, MA Davenport, M Masood, Test-Time Forward Model Adaptation for Seismic Deconvolution, IEEE Geoscience and Remote Sensing Letters, 2025
- N Ahad, EL Dyer, KB Hengen, Y Xie, MA Davenport, Learning Sinkhorn divergences for change point detection, IEEE Transactions on Signal Processing, 2025
- N Singh, C DeLude, M Davenport, J Romberg, A Fast Broadband Beamspace Transformation, arXiv:2512.08887, 2025
- G Canal, CJ Rozell, S Fenu, M Davenport, A Massimino, Systems and methods for preference and similarity learning, US Patent 12,499,178, 2025